Discerning Functional Connections in the Pulsed Neural Networks with the Dynamic Bayesian Network Structure Search Method Based on a Genetic Algorithm
Discerning Functional Connections in the Pulsed Neural Networks with the Dynamic Bayesian Network Structure Search Method Based on a Genetic Algorithm
复制标题
基于遗传算法的动态贝叶斯网络结构搜索方法识别脉冲神经网络中的功能连接
DOI：
10.1089/cmb.2019.0147
复制
发表时间：
2019-11
影响因子：
1.7
通讯作者：
Dong Chao Yi
中科院分区：
文献类型：
--
作者：
Dong Chaoxuan;Chen Xiao Yan;Dong Chao Yi
It is important to explore potential structural characteristics of biological networks and regulatory mechanisms of network behaviors at the system level. In this study, a dynamic Bayesian network structure search method (DBNSSM) based on a genetic algorithm is employed to infer and locate functional connections in pulsed neural networks (PNNs) as typical artificial neural networks. In the process of network structure searching, a minimum description length score is calculated for each candidate network structure. The score indicates two characteristics of the network structure: (1) the likelihood based on network dynamic response data and (2) the complexity. Both should be considered together on selecting network structures. The DBNSSM is applied to analyze time-series data from PNNs, thereby discerns functional connections showing network structures collectively. It is feasible to analyze multichannel electrophysiological data of biological neural networks using the DBNSSM.
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影响因子：
13.9
作者：
W. Trimble;M. Linial;R. Scheller
通讯作者：
W. Trimble;M. Linial;R. Scheller
影响因子：
5.8
作者：
Perrin, Bruno-Edouard;Ralaivola, Liva;d'Alche-Buc, Florence
通讯作者：
d'Alche-Buc, Florence
影响因子：
5
作者：
Buntine, Wray L.
通讯作者：
Buntine, Wray L.
影响因子：
5.8
作者：
Yu, J;Smith, VA;Jarvis, ED
通讯作者：
Jarvis, ED
影响因子：
1.7
作者：
Friedman, N;Linial, M;Pe'er, D
通讯作者：
Pe'er, D